Bi-Directional Passing People Counting System Based on IR-UWB Radar Sensors

被引:71
|
作者
Choi, Jeong Woo [1 ]
Quan, Xuanjun [1 ]
Cho, Sung Ho [1 ]
机构
[1] Hanyang Univ, Dept Elect Engn, Seoul 04763, South Korea
来源
IEEE INTERNET OF THINGS JOURNAL | 2018年 / 5卷 / 02期
关键词
Congestion; context awareness; crowdedness; door counting; gate counting; impulse radio ultra-wideband (IR-UWB) radar; people counting; UWB;
D O I
10.1109/JIOT.2017.2714181
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we propose system based on impulse radio ultra-wideband (IR-UWB) radar sensors for counting multiple people passing through a passage or a wide door. The proposed counting system utilizes two IR-UWB radar sensors equipped with antennas which have narrow beam width to form two invisible electronic layers in the path. The two electronic layers are used for sensing and direction recognition of multiple people passing by. Algorithmically, sensing and direction recognition of a person passing through a path are performed considering both information of a received signal in each radar and mutual information between two radar signals. The proposed counting system is implemented with two radar modules designed using commercial radar ICs and a Raspberry Pi 2 module. We installed the designed modules in the subway station to verify the performance. Based on the installed modules, data were acquired for one week and the counting performance was verified for various time intervals, such as 2 min, 1 h, and 1 day. Except for a few cases, we could get counting results with errors less than 10%.
引用
收藏
页码:512 / 522
页数:11
相关论文
共 50 条
  • [1] People Counting Based on an IR-UWB Radar Sensor
    Choi, Jeong Woo
    Yim, Dae Hyeon
    Cho, Sung Ho
    IEEE SENSORS JOURNAL, 2017, 17 (17) : 5717 - 5727
  • [2] People Counting Based on CNN Using IR-UWB Radar
    Yang, Xiuzhu
    Yin, Wenfeng
    Zhang, Lin
    2017 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC), 2017, : 60 - 64
  • [3] People counting using IR-UWB radar sensors and machine learning techniques
    Njanda, Ange Joel Nounga
    Gbadoubissa, Jocelyn Edinio Zacko
    Radoi, Emanuel
    Ari, Ado Adamou Abba
    Youssef, Roua
    Halidou, Aminou
    SYSTEMS AND SOFT COMPUTING, 2024, 6
  • [4] A Counting Sensor for Inbound and Outbound People Using IR-UWB Radar Sensors
    Choi, Jeong Woo
    Cho, Sung Ho
    Kim, Young Soo
    Kim, No Joong
    Kwon, Soon Sung
    Shim, Jae Suk
    2016 IEEE SENSORS APPLICATIONS SYMPOSIUM (SAS 2016) PROCEEDINGS, 2016, : 528 - 532
  • [5] SHOPPING STORE MANAGEMENT SYSTEM BASED ON IR-UWB RADAR SENSORS
    Quan, Xuanjun
    Yim, Dae Hyeon
    Cho, Sung Ho
    PROCEEDINGS OF 2016 5TH IEEE INTERNATIONAL CONFERENCE ON NETWORK INFRASTRUCTURE AND DIGITAL CONTENT (IEEE IC-NIDC 2016), 2016, : 481 - 485
  • [6] Real-Time People Counting Using IR-UWB Radar
    Hasan, MKareeb
    Ebrahim, Malikeh Pour
    Yuce, Mehmet Rasit
    BODY AREA NETWORKS: SMART IOT AND BIG DATA FOR INTELLIGENT HEALTH MANAGEMENT, 2022, 420 : 63 - 70
  • [7] People Counting Using IR-UWB Radar Sensor in a Wide Area
    Choi, Jae-Ho
    Kim, Ji-Eun
    Kim, Kyung-Tae
    IEEE INTERNET OF THINGS JOURNAL, 2021, 8 (07) : 5806 - 5821
  • [8] A COUNTING ALGORITHM FOR MULTIPLE OBJECTS USING AN IR-UWB RADAR SYSTEM
    Choi, Jeong Woo
    Kim, Jin Ho
    Cho, Sung Ho
    PROCEEDINGS OF THE 3RD IEEE INTERNATIONAL CONFERENCE ON NETWORK INFRASTRUCTURE AND DIGITAL CONTENT (IEEE IC-NIDC 2012), 2012, : 591 - 595
  • [9] An automatic bi-directional passing-people counting method based on color image processing
    Chen, THCH
    Hsu, CW
    37TH ANNUAL 2003 INTERNATIONAL CARNAHAN CONFERENCE ON SECURITY TECHNOLOGY, PROCEEDINGS, 2003, : 200 - 207
  • [10] Dense People Counting Using IR-UWB Radar With a Hybrid Feature Extraction Method
    Yang, Xiuzhu
    Yin, Wenfeng
    Li, Lei
    Zhang, Lin
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2019, 16 (01) : 30 - 34